Concepedia

Andrew M. Dai

AM

20

Publications

1.2K

Citations

16

H-Index

2014

Active since

Affiliations

Google (United States)(Current)

Stanford University

Harvard University

Andrew M. Dai is an author at Google (United States) specializing in engineering, machine learning, and data science.

Top concepts

EngineeringMachine LearningData ScienceDeep LearningComputer ScienceArtificial IntelligenceText MiningHealth InformaticsKnowledge DiscoveryPredictive Analytics

Publications per year

2014–2023

20

Publications

20

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Edward Choi, Zhen Xu, Yujia Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 236 citations · Full text

Engineering, Machine Learning, Graphical Structure +21

Adversarial Training Methods for Semi-Supervised Text Classification

Takeru Miyato, Andrew M. Dai, Ian Goodfellow · arXiv (Cornell University) · 2016 · 201 citations · Full text

Structured Prediction, Engineering, Machine Learning +16

MaskGAN: Better Text Generation via Filling in the ____

William Fedus, Ian Goodfellow, Andrew M. Dai · arXiv (Cornell University) · 2018 · 140 citations · Full text

Natural Language Processing, Engineering, Machine Learning +6

Impacts of social distancing policies on mobility and COVID-19 case growth in the US

Gregory A. Wellenius, Swapnil Vispute, Valeria Espinosa et al. · Repository for Publications and Research Data (ETH Zurich) · 2021 · 105 citations · Full text

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

William Fedus, Mihaela Rosca, Balaji Lakshminarayanan et al. · arXiv (Cornell University) · 2017 · 100 citations · Full text

Artificial Intelligence, Many Paths, Engineering +14

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